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EuroGP 2022 : European Conference on Genetic ProgrammingConference Series : European Conference on Genetic Programming | |||||||||||
Link: http://www.evostar.org/2022/eurogp/# | |||||||||||
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Call For Papers | |||||||||||
EuroGP is the premier annual conference on Genetic Programming (GP), the oldest and the only meeting worldwide devoted specifically to this branch of evolutionary computation. It is always a high-quality, enjoyable, friendly event, attracting participants from all continents, and offering excellent opportunities for networking, informal contact, and exchange of ideas with fellow researchers. It will feature a mixture of oral presentations and poster sessions and invited keynote speakers. EuroGP is featured in the conference ranking database CORE.
EvoStar is a leading international event devoted to evolutionary computing, comprising four conferences, EuroGP, EvoApplications, EvoCOP, and EvoMUSART. The low-cost registration includes access to all of them, as well as daily lunch and the conference reception and banquet. Topics to be covered include, but is not limited to: Innovative applications of GP, Theoretical developments, GP performance and behaviour, Fitness landscape analysis of GP, Algorithms, representations and operators for GP, Search-based software engineering, Genetic improvement programming, Evolutionary design, Evolutionary robotics, Tree-based GP and Linear GP, Graph-based GP and Grammar-based GP, Evolvable hardware, Self-reproducing programs, Multi-population GP, Multi-objective GP, Parallel GP, Probabilistic GP, Object-orientated GP, Hybrid architectures including GP, Coevolution and modularity in GP, Semantics in GP, Unconventional GP, Automatic software maintenance, Evolutionary inductive programming, Evolution of automata or machines. High-quality submissions not exceeding 16 pages in LNCS style are now solicited. Accepted papers will be published by Springer-Verlag in the Lecture Notes in Computer Science series. The highest quality papers may also be invited to submit extensions for publication in a special issue of the journal Genetic Programming and Evolvable Machines (GPEM). |
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